Faster Processing, Faster Insight: Machine Learning with Apache® Spark™ SQL, Tableau, and Simba

On-Demand Webinar

You've got the performance of Apache Spark™ for your data. You've got the power of Tableau Software for your analytics. Now what?

Spark is fast for in-memory processing. But it's also faster than Hadoop alternatives for on-disk data processing. In this interactive webinar, thought leaders from Databricks, Tableau Software, and Simba Technologies will discuss and demonstrate how to connect Spark data to Tableau with Simba ODBC connectivity, and more importantly, show how to use machine learning to derive insight from Spark data with Tableau visualizations.

  • Pat McDonough

    Director, Client Solutions, Databricks

    Pat McDonough has been an avid proponent and user of open source since the days when the average corporation still thought it was a crazy idea to use it for legitimate business. For the last half decade, he’s been working at companies built around open source, helping their customers build platform solutions for applications, integration, and big data. Pat works at Databricks with the core team from the Apache Spark project, working every day to grow the Spark community and user base.

  • Jeff Feng

    Product Manager, Tableau Software

    Jeff Feng is a product leader with a passion for building beautiful, intuitive products that delight the user. At Tableau, he lead Tableau's Big Data product roadmap and product strategy to transform the way that people work with data.